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      <title>XKCD Finder</title>
      <link>https://zl-labs.tech/post/2025-06-27-xkcd-rag/</link>
      <pubDate>Fri, 27 Jun 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;XKCD comics have become a cornerstone of internet culture, particularly in technical circles, with their witty takes on science,&#xA;programming, and mathematics. However, finding the perfect XKCD for a particular topic or reference can be challenging -&#xA;there are now over 3,000 comics in the archive, and traditional search methods rely heavily on exact keyword matches or&#xA;remembering specific comic numbers.&lt;/p&gt;&#xA;&lt;p&gt;This project explores how modern Natural Language Processing (NLP) techniques can be used to search XKCD comics semantically,&#xA;understanding the underlying meaning rather than just matching keywords. By applying vector embeddings and Retrieval&#xA;Augmented Generation (RAG) to comic descriptions, we can now perform a search based on concepts, themes, and abstract ideas.&lt;/p&gt;</description>
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